Understanding communication and information processing in nervous systems is a central
goal of neuroscience. Over the past two decades, advances in connectomics and network …

Neuronal signalling and communication underpin virtually all aspects of brain activity and
function. Network science approaches to modelling and analysing the dynamics of …

Structural and functional brain networks are modular. Canonical functional systems, such as
the default mode network, are well-known modules of the human brain and have been …

Recent advances in computational models of signal propagation and routing in the human
brain have underscored the critical role of white-matter structure. A complementary …

Despite substantial recent progress, our understanding of the principles and mechanisms
underlying complex brain function and cognition remains incomplete. Network neuroscience …

Network theory provides an intuitively appealing framework for studying relationships
among interconnected brain mechanisms and their relevance to behaviour. As the space of …

The study of human brain networks with in vivo neuroimaging has given rise to the field of
connectomics, furthered by advances in network science and graph theory informing our …

Understanding the mechanisms of neural communication in large-scale brain networks
remains a major goal in neuroscience. We investigated whether navigation is a …

The complex connectivity of the cerebral cortex suggests that inter-regional communication
is a primary function. Using computational modeling, we show that anatomical connectivity …

Computational analysis of communication efficiency of brain networks often relies on graph-
theoretic measures based on the shortest paths between network nodes. Here, we explore a …